Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/238151
Authors: 
Ahmad, Amal
Year of Publication: 
2021
Series/Report no.: 
Working Paper No. 2021-03
Publisher: 
University of Massachusetts, Department of Economics, Amherst, MA
Abstract: 
Information problems are pervasive in developing economies and can hinder productivity growth. This paper studies how much rural producers in developing countries can learn from their own experience to redress important information gaps. It builds a model of learning from experience and applies it using a rich dataset on cotton farmers in Pakistan. I test whether farmers learn from cultivation experience about the pest resistance of their seeds and use this information to improve selection and productivity. I find no such learning effect and this conclusion is robust to several parameters that could signal learning. The findings document the difficulty of parsing out and processing information from cultivation experience alone and point to the importance of information provision to producers by the government or external agencies.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
628.89 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.